Structure:
This project is an estimator for when septic tanks and pit latrines will be full by normal usage on Kanyama, one of the Lusaka city compounds, located on the country of Zambia.
The application makes the predictions based on the average daily usage, toilet structure and containment layout. With that it generates the possible dates of when the toilets are going to be full and with that information, providing the contact with the waste management team to operate on these areas, speeding up the process, creating a pattern of colletion and avoiding the spread of sanitation diseases.
This application is avaiable at Gatherhub platform and totally ready to operate, all the datasets are already included on the application, requiring no more effort from the user.
The “Number of Occurences” tab shows, indicates how many toilets are going to be full on a daily basis, from the day the toilets were last emptied, until the day that they are supposed to be full, according to the calculation. The time-span are by default annual, with a day-by-day(Raw) and monthly (Smooth) aggregation.
Monthly and Daily Predictions:
Default panel
Enabling the month selection make the time-span flexible according to the user preference, but only the day-by-day analysis is disponible on this mode.
General tab with Monhth selection activated:
General Option
Accessing the “Transport” sub-tab shows the places that have the respective properties:
Transport tab with Monhth selection activated:
General Option
Transport tab:
Transport Option
The “Amount of Waste” tab works on a similar way, but instead counting toilets this section takes into consideration the containment size on each plot and indicates how many cubic meters has to be collected on each day into the future, making easier for the waste management team to organise its collection approach.
The “Map” tab is responsible to transform the “Number of Occurence”/“Amount of Waste” tabs into a geospatial visualisation, indicating what are the points to be collected and where are the full toilets, The map is zoom sensitive making possible the plots update according to the amount of points on the map.
Map Option
This project was an introduction to the WSUP datasets, but to make the project more robust it’s still necessary to: